Data Analyst

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Data Analyst
ETL
MDM
data quality
ERD
analytics
cleansing
migration
pipeline
cloud
child welfare
CCWIS
Analytical Skill
Business Rules
Mapping
Master Data Management
Meta-data Management
Microsoft Exchange
ETL Architecture
English
Extract
Transform
Load
Knowledge Transfer
Data Migration
Data Modeling
Database
Database Design
Dimensional Modeling
Cloud Computing
Communication
Data Cleansing
Data Dictionary
Data Management
Management
Mobile Device Management
Provisioning
RTR
Reporting
Semantics
Time Series

Job Details

Job ID: MS-149462

Remote Data Analyst (15+) with ETL, MDM, data quality, ERD, data quality/analytics/cleansing/migration/pipeline, cloud, child welfare/CCWIS experience

Location: Jackson, MS (MDCPS)
Duration: 12 Months

Required Skills/Experience
To be considered, all proposed consultants must meet the following mandatory requirements:
Eight (8) years of experience with Multidimensional Model Database Design, ETL design and development.
Eight (8) years of experience with data quality and master data management integration.
Eight (8) years of experience with ERD s, business vocabulary, data dictionary and database schema mapping.
Eight (8) years of data analytic implementation projects
Three (3) years of experience with cloud-based data stack tool and platforms
Excellent English-speaking skills, written communication skills, and knowledge transfer skills

Preferred Qualifications:
Experience in Child Welfare data modeling, case management and analytics
Experience with data quality and data exchange components of federal requirements for Child Welfare management systems
Prior CCWIS experience
Ability to communicate effectively
Ability to build a positive, productive rapport with team members

3. Position Description and Job Skill Set
Description of the job functions the contractor will be expected to perform.

OBJECTIVE:
MDCPS seeks an experienced professional to participate in planning and execution of data cleansing and data migration initiatives and concurrently participate in development of data models, data stack architecture, technical implementation and other critical functions of data management that will enable evidence based Child Welfare Practice at MDCPS.

POSITION SUMMARY:
This position is full-time (40 hours weekly) and requires an individual to participate as a significantly contributing team member on the MDCPS Data Management Team (DMT). The near-term scope of this team and this position includes participating in data related migration and design activities on the replacement of legacy case management system with the new CCWIS Cloud-Based hosted solution, and additional to that, planning and implementation of cloud-based data stack to enable robust and actionable analytics capabilities at MDCPS. This individual will be reporting to the lead architect on DMT.

MAJOR RESPONSIBILITIES:
Support and participation in Identification and management of data-related issues / risks and gaps
Understanding, conceiving and documenting source and target-state data architectures for applications and cloud- based data analytic platforms
Data Pipeline Design and Implementation
Development of subject matter expertise in business drivers, business semantic meaning and business practice when providing data management services.
Design and Development of ETL architecture and technical work packages
Deliver on measurable improvements of data quality metrics
Entity Relationship Diagramming, Business Vocabulary, Data Dictionary, Multi-Dimensional Models, Semantic Models
Data mapping specifications for migration from large legacy database to new case management application, entity relationship diagrams, database schema, data dictionary, transformation lineage, business vocabulary/semantic models.
Data Set Catalogue Planning and Implementation. Provisioning and managing metadata in the data stack
Identifying business rules for complex business metrics and coding calculations for those metrics.
Semantic model design and development with time series, hierarchical/drill down views for child welfare metrics

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.